Cargando…

MON-448 Inflammatory and Oxidative Stress Parameters as Criteria of Classification of Metabolic Phenotypes of Insulin Resistance

In previous studies, we have shown that metabolic syndrome (MetS) and adult growth hormone deficiency (GHD) share different biochemical features, such as insulin-resistance (IR) but differ in antioxidant pattern. On the other hand, immunoglobulin free light chains (FLCs) are molecules with biologica...

Descripción completa

Detalles Bibliográficos
Autores principales: Bruno, Carmine, Vergani, Edoardo, Brunetti, Alessandro, Ricerca, Bianca Maria, Silvestrini, Andrea, Meucci, Elisabetta, Napodano, Cecilia, Pocino, Krizia, Gulli, Francesca, Santini, Stefano Angelo, Basile, Umberto, Mancini, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Endocrine Society 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550648/
http://dx.doi.org/10.1210/js.2019-MON-448
_version_ 1783424228660346880
author Bruno, Carmine
Vergani, Edoardo
Brunetti, Alessandro
Ricerca, Bianca Maria
Silvestrini, Andrea
Meucci, Elisabetta
Napodano, Cecilia
Pocino, Krizia
Gulli, Francesca
Santini, Stefano Angelo
Basile, Umberto
Mancini, Antonio
author_facet Bruno, Carmine
Vergani, Edoardo
Brunetti, Alessandro
Ricerca, Bianca Maria
Silvestrini, Andrea
Meucci, Elisabetta
Napodano, Cecilia
Pocino, Krizia
Gulli, Francesca
Santini, Stefano Angelo
Basile, Umberto
Mancini, Antonio
author_sort Bruno, Carmine
collection PubMed
description In previous studies, we have shown that metabolic syndrome (MetS) and adult growth hormone deficiency (GHD) share different biochemical features, such as insulin-resistance (IR) but differ in antioxidant pattern. On the other hand, immunoglobulin free light chains (FLCs) are molecules with biological functions which are still incompletely known. In order to compare different populations with IR and, consequently, classify different phenotype of IR, we have evaluated FLCs and Total Antioxidant Capacity (TAC) in 3 groups of patients with IR due to different diseases: group A, patients with GHD (n=31, 24-69 ys, mean±SEM BMI 26.8±1.5 kg/m(2)); group B, patients with MetS (n=29, 29-70 ys, mean±SEM BMI 31.9±1.3 kg/m(2)); group C hyperferritinaemia (HF) (n=33, 28-78 ys, mean±SEM BMI 31.1±0.99 kg/m(2)). All patients underwent an oral glucose tolerance test; HOMA-IR was calculated; moreover, a morning blood sample was collected for evaluation of FLCs (assessed by turbidimetric assay) and TAC (assessed by spectrophotometric method, using the system H(2)O(2)-metmyoglobin, and expressed as Lag, latency time before the appearance of the radical form of the chromogen ABTS). HOMA-IR, as expected, was high in all three groups (group A 3.13±0.43, group B 3.16±0.28, group C 4.62 ±0.51), significantly higher in group C vs the other two groups. The parameters of inflammation and oxidative stress were significantly different in group A vs the other two groups (FLCs k 36.2±7.0 mg/l vs 15.4±0.9 in group B and 17.8±8.0 in group C; FLCs lambda 19.4±2.6 vs 11.3±0.7 in group B and 12.7±7.3 in group C; Lag 65.0±5.3 sec vs 82.9±6.2 in group B and 83.9±5.4 in group C). These data confirm that different mechanisms of oxidative stress and inflammation underlie these three subtypes of IR, and could be used to classify different phenotypes of these complex syndrome.
format Online
Article
Text
id pubmed-6550648
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Endocrine Society
record_format MEDLINE/PubMed
spelling pubmed-65506482019-06-13 MON-448 Inflammatory and Oxidative Stress Parameters as Criteria of Classification of Metabolic Phenotypes of Insulin Resistance Bruno, Carmine Vergani, Edoardo Brunetti, Alessandro Ricerca, Bianca Maria Silvestrini, Andrea Meucci, Elisabetta Napodano, Cecilia Pocino, Krizia Gulli, Francesca Santini, Stefano Angelo Basile, Umberto Mancini, Antonio J Endocr Soc Neuroendocrinology and Pituitary In previous studies, we have shown that metabolic syndrome (MetS) and adult growth hormone deficiency (GHD) share different biochemical features, such as insulin-resistance (IR) but differ in antioxidant pattern. On the other hand, immunoglobulin free light chains (FLCs) are molecules with biological functions which are still incompletely known. In order to compare different populations with IR and, consequently, classify different phenotype of IR, we have evaluated FLCs and Total Antioxidant Capacity (TAC) in 3 groups of patients with IR due to different diseases: group A, patients with GHD (n=31, 24-69 ys, mean±SEM BMI 26.8±1.5 kg/m(2)); group B, patients with MetS (n=29, 29-70 ys, mean±SEM BMI 31.9±1.3 kg/m(2)); group C hyperferritinaemia (HF) (n=33, 28-78 ys, mean±SEM BMI 31.1±0.99 kg/m(2)). All patients underwent an oral glucose tolerance test; HOMA-IR was calculated; moreover, a morning blood sample was collected for evaluation of FLCs (assessed by turbidimetric assay) and TAC (assessed by spectrophotometric method, using the system H(2)O(2)-metmyoglobin, and expressed as Lag, latency time before the appearance of the radical form of the chromogen ABTS). HOMA-IR, as expected, was high in all three groups (group A 3.13±0.43, group B 3.16±0.28, group C 4.62 ±0.51), significantly higher in group C vs the other two groups. The parameters of inflammation and oxidative stress were significantly different in group A vs the other two groups (FLCs k 36.2±7.0 mg/l vs 15.4±0.9 in group B and 17.8±8.0 in group C; FLCs lambda 19.4±2.6 vs 11.3±0.7 in group B and 12.7±7.3 in group C; Lag 65.0±5.3 sec vs 82.9±6.2 in group B and 83.9±5.4 in group C). These data confirm that different mechanisms of oxidative stress and inflammation underlie these three subtypes of IR, and could be used to classify different phenotypes of these complex syndrome. Endocrine Society 2019-04-30 /pmc/articles/PMC6550648/ http://dx.doi.org/10.1210/js.2019-MON-448 Text en Copyright © 2019 Endocrine Society https://creativecommons.org/licenses/by-nc-nd/4.0/ This article has been published under the terms of the Creative Commons Attribution Non-Commercial, No-Derivatives License (CC BY-NC-ND; https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Neuroendocrinology and Pituitary
Bruno, Carmine
Vergani, Edoardo
Brunetti, Alessandro
Ricerca, Bianca Maria
Silvestrini, Andrea
Meucci, Elisabetta
Napodano, Cecilia
Pocino, Krizia
Gulli, Francesca
Santini, Stefano Angelo
Basile, Umberto
Mancini, Antonio
MON-448 Inflammatory and Oxidative Stress Parameters as Criteria of Classification of Metabolic Phenotypes of Insulin Resistance
title MON-448 Inflammatory and Oxidative Stress Parameters as Criteria of Classification of Metabolic Phenotypes of Insulin Resistance
title_full MON-448 Inflammatory and Oxidative Stress Parameters as Criteria of Classification of Metabolic Phenotypes of Insulin Resistance
title_fullStr MON-448 Inflammatory and Oxidative Stress Parameters as Criteria of Classification of Metabolic Phenotypes of Insulin Resistance
title_full_unstemmed MON-448 Inflammatory and Oxidative Stress Parameters as Criteria of Classification of Metabolic Phenotypes of Insulin Resistance
title_short MON-448 Inflammatory and Oxidative Stress Parameters as Criteria of Classification of Metabolic Phenotypes of Insulin Resistance
title_sort mon-448 inflammatory and oxidative stress parameters as criteria of classification of metabolic phenotypes of insulin resistance
topic Neuroendocrinology and Pituitary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550648/
http://dx.doi.org/10.1210/js.2019-MON-448
work_keys_str_mv AT brunocarmine mon448inflammatoryandoxidativestressparametersascriteriaofclassificationofmetabolicphenotypesofinsulinresistance
AT verganiedoardo mon448inflammatoryandoxidativestressparametersascriteriaofclassificationofmetabolicphenotypesofinsulinresistance
AT brunettialessandro mon448inflammatoryandoxidativestressparametersascriteriaofclassificationofmetabolicphenotypesofinsulinresistance
AT ricercabiancamaria mon448inflammatoryandoxidativestressparametersascriteriaofclassificationofmetabolicphenotypesofinsulinresistance
AT silvestriniandrea mon448inflammatoryandoxidativestressparametersascriteriaofclassificationofmetabolicphenotypesofinsulinresistance
AT meuccielisabetta mon448inflammatoryandoxidativestressparametersascriteriaofclassificationofmetabolicphenotypesofinsulinresistance
AT napodanocecilia mon448inflammatoryandoxidativestressparametersascriteriaofclassificationofmetabolicphenotypesofinsulinresistance
AT pocinokrizia mon448inflammatoryandoxidativestressparametersascriteriaofclassificationofmetabolicphenotypesofinsulinresistance
AT gullifrancesca mon448inflammatoryandoxidativestressparametersascriteriaofclassificationofmetabolicphenotypesofinsulinresistance
AT santinistefanoangelo mon448inflammatoryandoxidativestressparametersascriteriaofclassificationofmetabolicphenotypesofinsulinresistance
AT basileumberto mon448inflammatoryandoxidativestressparametersascriteriaofclassificationofmetabolicphenotypesofinsulinresistance
AT manciniantonio mon448inflammatoryandoxidativestressparametersascriteriaofclassificationofmetabolicphenotypesofinsulinresistance